A new and efficient class of nonlinear equalizers is introduced for intersymbol interference (ISI) channels. These "iterated-decision equalizers" use an optimized multipass algorithm to successively cancel I...
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A new and efficient class of nonlinear equalizers is introduced for intersymbol interference (ISI) channels. These "iterated-decision equalizers" use an optimized multipass algorithm to successively cancel ISI from a block of received data and generate symbol decisions whose reliability increases monotonically with each iteration. Asymptotically they achieve the performance of maximum-likelihood sequence detection (MLSD), but only have a computational complexity on the order of a linear equalizer (LE). And because their structure allows cancellation of both pre- and post-cursor ISI, iterated-decision equalizers outperform the minimum mean-square error decision-feedback equalizer (DFE) by 2.5 dB on severe ISI channels even with uncoded systems. Even more importantly, unlike the DFE, iterated-decision equalizers can be readily used in conjunction with error-control coding, making them attractive for a wealth of applications.
In this paper we investigate partial response signaling (PRS) systems that are intended to operate close to capacity. We show that finding PRS systems with maximal capacity is a rather easy optimization task. We give ...
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In this paper we investigate partial response signaling (PRS) systems that are intended to operate close to capacity. We show that finding PRS systems with maximal capacity is a rather easy optimization task. We give an alternate way of defining bandwidth for PRS systems based on capacity considerations; this differs considerably from the traditional method based on transmission power. Practical PRS schemes are derived, based on these ideas. Their bit error rate is significantly better than earlier, distance-optimizing schemes.
This paper presents an efficient and fast encoding of still images using the feedforward neural network technique for codebook search. The image to be coded is first clustered into a small subset of neighboring images...
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This paper presents an efficient and fast encoding of still images using the feedforward neural network technique for codebook search. The image to be coded is first clustered into a small subset of neighboring images and then the neural network-based encoder is used to find the best matching code sequences in the codebook. This subset is then used as a candidate set and an exhaustive search is then performed within this subset to find an optimal code sequence which minimizes the perceptual error between coded and decoded images. In this work, a generic codebook is developed using non-causal differential pulse coded modulation (DPCM) with residual mean removal and vector quantization using Linde, Buzo and Gray (1980) method. The codebook is analyzed to identify a pattern in the codebook. This pattern is used to train a neural network to obtain the approximate index of the pattern in the codebook. Then, an extensive search is done around this approximate position identified by the neural network to obtain the nearest neighbor of the pattern. Since the candidate set is usually much smaller that the whole code book, there is a substantial saving in codebook search time for coding an image as compared to the traditional method using full codebook search by the LBG algorithm.
The need to increase data-rate capabilities of the Tracking and Data Relay Satellite System (TDRSS) has prompted NASA to investigate bandwidth-efficient modulation schemes. Based upon current technology the most promi...
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The need to increase data-rate capabilities of the Tracking and Data Relay Satellite System (TDRSS) has prompted NASA to investigate bandwidth-efficient modulation schemes. Based upon current technology the most promising scheme is Trellis-Coded modulation (TCM) operating with Octal Phase Shift Keying (8 PSK). In conjunction with NASA, New Mexico State University's Manuel Lujan Jr. Center for Space Telemetering and Telecommunications Systems has constructed a system to test this new candidate TDRSS modulation scheme, TCM 8 PSK. This system was tested through the TDRSS channel to demonstrate that this coding scheme operates as well over the actual channel as it has in lab experiments and simulations. Two interchangeable codecs, implementing separate TCM techniques, were tested. The results of this experiment and subsequent data analysis are presented in this paper.< >
In this paper a sliding mode approach to stability analysis and design of sigma-delta modulators is introduced. It is shown that a continuous-time sigma-delta modulator can be studied as a nonlinear dynamical system w...
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In this paper a sliding mode approach to stability analysis and design of sigma-delta modulators is introduced. It is shown that a continuous-time sigma-delta modulator can be studied as a nonlinear dynamical system with feedback control. Representing a modulator as "plant" and "controller" transforms a modulator design problem into a control design problem. Moreover, using advanced sliding mode techniques; new structures of sigma-delta modulator can be obtained. A non-linear second order modulator is proposed and analyzed as a part of high order non-linear modulators family.
In this paper, the spread-spectrum (SS) Boomerang system using code-shift-keying (CSK) is proposed. CSK is one of the orthogonal modulation systems which transmit an orthogonal code sequence according to information b...
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ISBN:
(纸本)9781424420681
In this paper, the spread-spectrum (SS) Boomerang system using code-shift-keying (CSK) is proposed. CSK is one of the orthogonal modulation systems which transmit an orthogonal code sequence according to information bits. The conventional SS-Boomerang system which used direct-sequence spread-spectrum (DS/SS) technique applies the spreading sequence to every information bits. However, since the proposed SS-Boomerang system uses CSK, it can transmit more than one information with one spreading sequence. It is able to improve information transmission rate. Moreover, it is shown that the bit error rate and distance ranging performance of the proposed system is superior to that of the conventional system.
In this paper we study and compare methods for representing information for transmission on inductively coupled channels. We introduce combined runlength and power constraints on modulation codes for such channels, ca...
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ISBN:
(纸本)9781424420681
In this paper we study and compare methods for representing information for transmission on inductively coupled channels. We introduce combined runlength and power constraints on modulation codes for such channels, calculate the capacities of these new constraints, and propose new codes that meet the constraints.
Recently, two Evolutionary Programming (EP) algorithms (Classical EP and Fast EP) have been proposed in order to design Finite Impulse Response digital filters. The proposed techniques can be used to design digital fi...
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ISBN:
(纸本)9781424408290;1424408296
Recently, two Evolutionary Programming (EP) algorithms (Classical EP and Fast EP) have been proposed in order to design Finite Impulse Response digital filters. The proposed techniques can be used to design digital filters for a wide range of applications, such as data transmission, subband coding or narrowband interference detection. Here, we focus our attention on the design of nearly perfect reconstruction Cosine Modulated Filter Banks. The EP algorithms are used to determine the optimum values for the samples of the magnitude response Fourier transform, located in the transition band of the prototype filter. Thus, the technique is simplified by constraining most the Fourier transform magnitude of the prototype filter, leaving only a small number of values to be optimized. The analytical and simulation results show again that the designed system performance is extremely good.
Bit-interleaved turbo-coded modulations (BITCM) have been shown to achieve bit error rate performance very close to the capacity limit over both additive white Gaussian noise (AWGN) channels and Rayleigh fading channe...
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Bit-interleaved turbo-coded modulations (BITCM) have been shown to achieve bit error rate performance very close to the capacity limit over both additive white Gaussian noise (AWGN) channels and Rayleigh fading channels. So far, most studies have been done on BITCM systems designed using rectangular QAM signal sets. In this paper, we address the problem of finding some constellations that would be more suitable than rectangular QAM for designing power efficient BITCM. When the parameter M is in the form M=2/sup 2p/ where p is an integer, we show that rectangular QAM constellations are surprisingly the most attractive signal sets for the design of power-efficient BITCM schemes over AWGN channels. This is not necessarily true with Rayleigh fading channels.
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