Tài liệu Advanced DSP and Noise reduction P8 pptx
... ] {} ()() ()() aXxaXxXaxXax BB T BB T 1 0 2 1 2 1 1 0 2 )( 2 )( )( + )()()()( )()( −−−−= +−−−+ −−= += ∑∑∑ ∑ − === − = N m P k k P k k N m PP P fb kPmxaPmxkmxamx mbmeE (8.55) where X and x are the signal matrix and vector defined by Equations (8.12) and (8.13), and similarly X B and x B are the signal matrix and vector for t...
Ngày tải lên: 21/01/2014, 07:20
... noise or any wideband noise whose spectrum has a non-flat shape; examples are pink noise, brown noise and autoregressive noise. (e) Impulsive noise: consists of short-duration pulses of random ... Estimation and Modulation Theory. Parts I, II and III. Wiley, New York. 2 NOISE AND DISTORTION 2.1 Introduction 2.6 Thermal Noise 2.2 White Noise 2.7 Shot...
Ngày tải lên: 21/01/2014, 07:20
... Gaussian with mean vector µ x and covariance matrix Σ xx , and that the noise n (m) is also Gaussian with mean vector µ n and covariance matrix Σ nn . The signal and noise pdfs model the prior ... two-dimensional signal and noise process, the prior spaces of the signal, the noise, and the noisy signal are illustrated in Figure 4.6. Also illustrated are the likelih...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P15 pptx
... the noise power spectrum, P XY (f) is the cross-power spectrum of the channel input and output signals, and H(f) is the frequency response of the channel. Note that in the absence of noise, ... recorders, as illustrated in Figure 15.5, had a bandwidth of about 200 Hz to 4 kHz. However, the limited bandwidth, or even the additive noise or scratch noise pulses, are not consider...
Ngày tải lên: 26/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P1 pdf
... 80 Hz; band 2 is band-pass and covers 80 Hz to 3 kHz; band 3 is high-pass and covers above 3 kHz; and band 4 is also high-pass and covers above 9 kHz. At the encoder the gain of each band is ... time delay, and can be adjusted to coherently combine the signals. The magnitude frequency response of each filter can be used to remove the out–of–band noise. 1.3.8 Dolby Noise...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P3 pdf
... Autocorrelation and power spectrum of impulsive noise. Impulsive noise is a random, binary-state (“on/off”) sequence of impulses of random amplitudes and random time of occurrence. In Chapter 12, a random ... speech and noise are at least in part random. The concept of randomness is closely associated with the concepts of information and noise. Indeed, much of the work on t...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P5 ppt
... signal and the noise HMMs maybe expressed as () = η ,,,maxmaxarg noisesignalsignal noise signal M ssYs Y s s f MAP (5.46) and () = η ,,,maxmaxarg noisesignalnoise signal noise M ssYs Y s s f MAP ... filtering and the spectral subtraction methods described in Chapters 6 and 11) or by combining the noise and the signal models to model the n...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P6 pdf
... Additive Noise Reduction Consider a signal x(m) observed in a broadband additive noise n(m)., and model as y ( m ) = x ( m ) + n ( m ) (6.45) Assuming that the signal and the noise are ... signal, the noise- free signal and the noise respectively, and r xy is the cross- correlation vector of the noisy signal and the noise- free signal. Substitution of Equati...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P7 docx
... method, and then consider the computationally inexpensive LMS gradient search method. A z –1 w k ( m+ 1) α y ( m ) e ( m ) µ α w ( m ) Advanced Digital Signal Processing and Noise Reduction, ... () [] 01| ~ )1|( ˆ =−− mmmm xx E (7.20) and we have also used the assumption that the signal and the noise are uncorrelated. Substitution of Equations (7.9) and (7.16) in...
Ngày tải lên: 21/01/2014, 07:20
Tài liệu Advanced DSP and Noise reduction P9 pdf
... v N } span the noise subspace and have σ n 2 as their eigenvalues. Since the signal and noise eigenvectors are orthogonal, it follows that the signal subspace and the noise subspace are ... matrices of the signal x and the noise as I 2H n σ+= += SPS RRR nnxx yy (9.93) where R xx =SPS H and R nn = σ n 2 I are the autocorrelation matrices of the signal and n...
Ngày tải lên: 26/01/2014, 07:20