The Experts below are selected from a list of 4692 Experts worldwide ranked by ideXlab platform
Martin Vetterli - One of the best experts on this subject based on the ideXlab platform.
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perfect Reconstruction Filter banks with rational sampling factors
IEEE Transactions on Signal Processing, 1993Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:An open problem, namely, how to construct perfect Reconstruction Filter banks with rational sampling factors, is solved. Such Filter banks have N branches, each one having a sampling factor of p i/qi, and their sum equals one. In this way, the well-known theory of Filter banks with uniform band splitting is extended to allow for nonuniform divisions of the spectrum. This can be very useful in the analysis of speech and music. The theory relies on two transforms. The first transform leads to uniform Filter banks having polyphase components as individual Filters. The other results in a uniform Filter bank containing shifted versions of same Filters. This, in turn, introduces dependencies in design, and is left for future work. As an illustration, several design examples for the (2/3, 1/3) case are given. Filter banks are then classified according to the possible ways in which they can be built. It is shown that some cases cannot be solved even with ideal Filters (with real coefficients)
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FCO sampling of digital video using perfect Reconstruction Filter banks
IEEE Transactions on Image Processing, 1993Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:Three-dimensional nonseparable perfect Reconstruction Filter banks using three-dimensional nonseparable sampling by two, FCO, are proposed. Filter structures are derived and applied to digital video. Separation into two bands is obtained, and it is shown to perform better from the perceptual point of view than interlaced sequences resulting from the quincunx sampling of a progressively scanned signal in time-vertical dimensions.
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nonseparable multidimensional perfect Reconstruction Filter banks and wavelet bases for r sup n
IEEE Transactions on Information Theory, 1992Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:New results on multidimensional Filter banks and their connection to multidimensional nonseparable wavelets are presented. Among the topics discussed are sampling in multiple dimensions, multidimensional perfect Reconstruction Filter banks, the two-channel case in multiple dimensions, the synthesis of multidimensional Filter banks, and the design of compactly supported wavelets. >
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Perfect Reconstruction Filter banks with rational sampling rate changes
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics Speech and Signal Processing, 1991Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:The authors present a general, direct method for designing perfect Reconstruction Filter banks with rational sampling rate changes. Such Filter banks have N branches, each one having a sampling factor of p/sub i//q/sub i/ and their sum equal to one. A design example showing the advantage of using the direct over the indirect method is given. Due to recent results pointing to the relationship between Filter banks and wavelet theory, the regularity question is addressed as well, and a regular Filter is shown for a dilation factor of 3/2.
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ICASSP - Perfect Reconstruction Filter banks with rational sampling rate changes
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics Speech and Signal Processing, 1991Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:The authors present a general, direct method for designing perfect Reconstruction Filter banks with rational sampling rate changes. Such Filter banks have N branches, each one having a sampling factor of p/sub i//q/sub i/ and their sum equal to one. A design example showing the advantage of using the direct over the indirect method is given. Due to recent results pointing to the relationship between Filter banks and wavelet theory, the regularity question is addressed as well, and a regular Filter is shown for a dilation factor of 3/2. >
Jelena Kovacevic - One of the best experts on this subject based on the ideXlab platform.
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perfect Reconstruction Filter banks with rational sampling factors
IEEE Transactions on Signal Processing, 1993Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:An open problem, namely, how to construct perfect Reconstruction Filter banks with rational sampling factors, is solved. Such Filter banks have N branches, each one having a sampling factor of p i/qi, and their sum equals one. In this way, the well-known theory of Filter banks with uniform band splitting is extended to allow for nonuniform divisions of the spectrum. This can be very useful in the analysis of speech and music. The theory relies on two transforms. The first transform leads to uniform Filter banks having polyphase components as individual Filters. The other results in a uniform Filter bank containing shifted versions of same Filters. This, in turn, introduces dependencies in design, and is left for future work. As an illustration, several design examples for the (2/3, 1/3) case are given. Filter banks are then classified according to the possible ways in which they can be built. It is shown that some cases cannot be solved even with ideal Filters (with real coefficients)
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FCO sampling of digital video using perfect Reconstruction Filter banks
IEEE Transactions on Image Processing, 1993Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:Three-dimensional nonseparable perfect Reconstruction Filter banks using three-dimensional nonseparable sampling by two, FCO, are proposed. Filter structures are derived and applied to digital video. Separation into two bands is obtained, and it is shown to perform better from the perceptual point of view than interlaced sequences resulting from the quincunx sampling of a progressively scanned signal in time-vertical dimensions.
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nonseparable multidimensional perfect Reconstruction Filter banks and wavelet bases for r sup n
IEEE Transactions on Information Theory, 1992Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:New results on multidimensional Filter banks and their connection to multidimensional nonseparable wavelets are presented. Among the topics discussed are sampling in multiple dimensions, multidimensional perfect Reconstruction Filter banks, the two-channel case in multiple dimensions, the synthesis of multidimensional Filter banks, and the design of compactly supported wavelets. >
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Perfect Reconstruction Filter banks with rational sampling rate changes
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics Speech and Signal Processing, 1991Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:The authors present a general, direct method for designing perfect Reconstruction Filter banks with rational sampling rate changes. Such Filter banks have N branches, each one having a sampling factor of p/sub i//q/sub i/ and their sum equal to one. A design example showing the advantage of using the direct over the indirect method is given. Due to recent results pointing to the relationship between Filter banks and wavelet theory, the regularity question is addressed as well, and a regular Filter is shown for a dilation factor of 3/2.
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ICASSP - Perfect Reconstruction Filter banks with rational sampling rate changes
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics Speech and Signal Processing, 1991Co-Authors: Jelena Kovacevic, Martin VetterliAbstract:The authors present a general, direct method for designing perfect Reconstruction Filter banks with rational sampling rate changes. Such Filter banks have N branches, each one having a sampling factor of p/sub i//q/sub i/ and their sum equal to one. A design example showing the advantage of using the direct over the indirect method is given. Due to recent results pointing to the relationship between Filter banks and wavelet theory, the regularity question is addressed as well, and a regular Filter is shown for a dilation factor of 3/2. >
B.a. Wooley - One of the best experts on this subject based on the ideXlab platform.
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a cmos oversampling d a converter with a current mode semi digital Reconstruction Filter
International Solid-State Circuits Conference, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:Oversampling digital-to-analog (D/A) converters employing sigma-delta modulation noise shaping and single-bit quantization are attractive for use in digital audio applications because of their relaxed Reconstruction Filtering requirements and their tolerance of component mismatch. However, the use of a two-level D/A interface results in a large amount of out-of-band quantization noise that typically must be attenuated by a carefully designed analog Reconstruction Filter. This paper introduces a means of simplifying the Reconstruction Filter design through the use of a semidigital finite-impulse-response (FIR) Filter. In particular, it describes an oversampling D/A converter wherein a current-mode semidigital Reconstruction Filter is used to implement a multilevel D/A interface that attenuates the out-of-band quantization noise without requiring precise component matching. An experimental implementation of the converter achieves a dynamic range of 94 dB and 72 dB attenuation of out-of-band quantization noise for a baseband of 20 kHz. The prototype converter, which consists of a linear interpolator, a second-order noise shaper, and a 128-tap semidigital FIR Filter, dissipates 59 mW from a 5-V supply and occupies an active area of 3 mm/sup 2/ when integrated in a 1.2- mu m digital CMOS technology. >
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A CMOS oversampling D/A converter with a current-mode semidigital Reconstruction Filter
IEEE Journal of Solid-State Circuits, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:Oversampling digital-to-analog (D/A) converters employing sigma-delta modulation noise shaping and single-bit quantization are attractive for use in digital audio applications because of their relaxed Reconstruction Filtering requirements and their tolerance of component mismatch. However, the use of a two-level D/A interface results in a large amount of out-of-band quantization noise that typically must be attenuated by a carefully designed analog Reconstruction Filter. This paper introduces a means of simplifying the Reconstruction Filter design through the use of a semidigital finite-impulse-response (FIR) Filter. In particular, it describes an oversampling D/A converter wherein a current-mode semidigital Reconstruction Filter is used to implement a multilevel D/A interface that attenuates the out-of-band quantization noise without requiring precise component matching. An experimental implementation of the converter achieves a dynamic range of 94 dB and 72 dB attenuation of out-of-band quantization noise for a baseband of 20 kHz. The prototype converter, which consists of a linear interpolator, a second-order noise shaper, and a 128-tap semidigital FIR Filter, dissipates 59 mW from a 5-V supply and occupies an active area of 3 mm/sup 2/ when integrated in a 1.2- mu m digital CMOS technology.
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A CMOS oversampling D/A converter with a current-mode semi-digital Reconstruction Filter
1993 IEEE International Solid-State Circuits Conference Digest of Technical Papers, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:The architecture of an oversampling D/A (digital-to-analog) converter is shown. A 16-b digital word at the Nyquist sampling rate of 44.1 kHz is unsampled to 7.58 MHz by a digital interpolator. These 16-b data are then quantized into a one-bit output by a digital second-order sigma-delta modulation noise shaper. Instead of converting the one-bit output of the noise shaper into a two-level analog signal, the one-bit code is processed by a semi-digital Reconstruction Filter that provides both analog Reconstruction Filtering and D/A conversion. A prototype D/A converter consisting of a second-order digital noise shaper and a 128-tap semi-digital Reconstruction Filter was fabricated in 1- mu m CMOS in an active area of about 2.5 mm/sup 2/. The simulated frequency spectrum of the analog output is shown for a 4.74-kHz sinusoidal input 10 dB below overload with an oversampling ratio of 172. The Reconstruction Filter reduces by 61 dB the total out-of-band power between 22.1 kHz and 3.79 MHz. Also shown is the measured signal-to-(noise+distortion) of the converter as a function of input signal level for a baseband of 22.1 kHz. Measurements indicate a dynamic range of 95 dB with a peak signal-to-(noise+distortion) ratio of 85 dB.
D.k. Su - One of the best experts on this subject based on the ideXlab platform.
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a cmos oversampling d a converter with a current mode semi digital Reconstruction Filter
International Solid-State Circuits Conference, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:Oversampling digital-to-analog (D/A) converters employing sigma-delta modulation noise shaping and single-bit quantization are attractive for use in digital audio applications because of their relaxed Reconstruction Filtering requirements and their tolerance of component mismatch. However, the use of a two-level D/A interface results in a large amount of out-of-band quantization noise that typically must be attenuated by a carefully designed analog Reconstruction Filter. This paper introduces a means of simplifying the Reconstruction Filter design through the use of a semidigital finite-impulse-response (FIR) Filter. In particular, it describes an oversampling D/A converter wherein a current-mode semidigital Reconstruction Filter is used to implement a multilevel D/A interface that attenuates the out-of-band quantization noise without requiring precise component matching. An experimental implementation of the converter achieves a dynamic range of 94 dB and 72 dB attenuation of out-of-band quantization noise for a baseband of 20 kHz. The prototype converter, which consists of a linear interpolator, a second-order noise shaper, and a 128-tap semidigital FIR Filter, dissipates 59 mW from a 5-V supply and occupies an active area of 3 mm/sup 2/ when integrated in a 1.2- mu m digital CMOS technology. >
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A CMOS oversampling D/A converter with a current-mode semidigital Reconstruction Filter
IEEE Journal of Solid-State Circuits, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:Oversampling digital-to-analog (D/A) converters employing sigma-delta modulation noise shaping and single-bit quantization are attractive for use in digital audio applications because of their relaxed Reconstruction Filtering requirements and their tolerance of component mismatch. However, the use of a two-level D/A interface results in a large amount of out-of-band quantization noise that typically must be attenuated by a carefully designed analog Reconstruction Filter. This paper introduces a means of simplifying the Reconstruction Filter design through the use of a semidigital finite-impulse-response (FIR) Filter. In particular, it describes an oversampling D/A converter wherein a current-mode semidigital Reconstruction Filter is used to implement a multilevel D/A interface that attenuates the out-of-band quantization noise without requiring precise component matching. An experimental implementation of the converter achieves a dynamic range of 94 dB and 72 dB attenuation of out-of-band quantization noise for a baseband of 20 kHz. The prototype converter, which consists of a linear interpolator, a second-order noise shaper, and a 128-tap semidigital FIR Filter, dissipates 59 mW from a 5-V supply and occupies an active area of 3 mm/sup 2/ when integrated in a 1.2- mu m digital CMOS technology.
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A CMOS oversampling D/A converter with a current-mode semi-digital Reconstruction Filter
1993 IEEE International Solid-State Circuits Conference Digest of Technical Papers, 1993Co-Authors: D.k. Su, B.a. WooleyAbstract:The architecture of an oversampling D/A (digital-to-analog) converter is shown. A 16-b digital word at the Nyquist sampling rate of 44.1 kHz is unsampled to 7.58 MHz by a digital interpolator. These 16-b data are then quantized into a one-bit output by a digital second-order sigma-delta modulation noise shaper. Instead of converting the one-bit output of the noise shaper into a two-level analog signal, the one-bit code is processed by a semi-digital Reconstruction Filter that provides both analog Reconstruction Filtering and D/A conversion. A prototype D/A converter consisting of a second-order digital noise shaper and a 128-tap semi-digital Reconstruction Filter was fabricated in 1- mu m CMOS in an active area of about 2.5 mm/sup 2/. The simulated frequency spectrum of the analog output is shown for a 4.74-kHz sinusoidal input 10 dB below overload with an oversampling ratio of 172. The Reconstruction Filter reduces by 61 dB the total out-of-band power between 22.1 kHz and 3.79 MHz. Also shown is the measured signal-to-(noise+distortion) of the converter as a function of input signal level for a baseband of 22.1 kHz. Measurements indicate a dynamic range of 95 dB with a peak signal-to-(noise+distortion) ratio of 85 dB.
Gordon W. Roberts - One of the best experts on this subject based on the ideXlab platform.
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A CMOS digitally programmable current steering semidigital FIR Reconstruction Filter
ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), 2001Co-Authors: Gordon W. RobertsAbstract:A low power, area efficient, single bit finite-impulse response (FIR) Reconstruction Filter for delta-sigma applications based on a current steering approach is presented. The FIR Filter coefficients are programmable with discrete values from -8 to +8, thus allowing for various Filter responses including lowpass and bandpass transfer functions on the same chip. The Filter is implemented in a 0.25 /spl mu/m standard CMOS process and incorporates 2.09 mm/sup 2/ of active area and a 2.5 V supply. Three different Filter functions are implemented: a voice band lowpass Filter, an audio band lowpass Filter and a bandpass Filter. The audio band example achieves a dynamic range of 78 dB for a signal bandwidth of 20 kHz and 65 dB over a 100 kHz bandwidth.
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ISCAS (1) - A CMOS digitally programmable current steering semidigital FIR Reconstruction Filter
ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), 2001Co-Authors: Gordon W. RobertsAbstract:A low power, area efficient, single bit finite-impulse response (FIR) Reconstruction Filter for delta-sigma applications based on a current steering approach is presented. The FIR Filter coefficients are programmable with discrete values from -8 to +8, thus allowing for various Filter responses including lowpass and bandpass transfer functions on the same chip. The Filter is implemented in a 0.25 /spl mu/m standard CMOS process and incorporates 2.09 mm/sup 2/ of active area and a 2.5 V supply. Three different Filter functions are implemented: a voice band lowpass Filter, an audio band lowpass Filter and a bandpass Filter. The audio band example achieves a dynamic range of 78 dB for a signal bandwidth of 20 kHz and 65 dB over a 100 kHz bandwidth.
