advanced air and noise pollution control

... Performance and Costs of Air Pollution Control TechnologiesLawrence K. Wang, Jiann-Long Chen, and Yung-Tse Hung 3851. Introduction 3851.1. Air Emission Sources and Control 3851.2. Air Pollution Control ... Indoor Air Pollution and Health Effects 2382.1. Sources of Indoor Air Pollution 2382.2. Health Effects of Indoor Air Pollutants 2403. Indoor Air Pollution 2533.1. Identifying Indoor Air Pollution ... and Indoor Pollution Control 2067.1. Health Effects and Standards 2067.2. Indoor Air Quality 2077.3. Pollution Control in Future Air Conditioned Environments 2098. Heating, Ventilating, and...

Air and Noise Pollution Abatement Services: An Examination of U.S. and Foreign Markets ppt

... pollution and climate; noise pollution abatement and control services; testing and monitoring of air or noise pollution; and other servicesincidental to air and noise pollution abatement. The USTR ... and demand for air and noise pollution abatement services in the global marketplace. Chapters 4, 5, and 6 present discussions on air pollution abatement, emissions trading, and noise pollution abatement, ... offending noise, the path of noise transmission, and the targeted observer.19 Air and Noise Pollution Abatement Services in theWorld Trade Organization (WTO)The air and noise pollution abatement services...

Tài liệu Air and Water Pollution: Burden and Strategies for Control doc

...

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 ... enhancement and speech recognition. Speech is generated by inhaling air into the lungs, and then exhaling it through the vibrating glottis cords and the vocal tract. The random, noise- like, air flow ... output of a filter excited by a random signal. The random excitation models the air exhaled through the lung, and the filter models the vibrations of the glottal cords and the vocal tract. At the...

Tài liệu Advanced DSP and Noise reduction P2 pptx

... 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 Noise 2.3 Coloured Noise ... sensation and quality. Figures 2.9(a) and (b) show examples of the spectra of car noise recorded from a BMW and a Volvo respectively. The noise in a car is nonstationary, and varied, and may...

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 the processing of random ... impulse, and n(m) is a random noise process. Assuming PXX(f)frxx(m)m Figure 3.6 Autocorrelation and power spectrum of white noise. 62 Probability Models that impulsive noise...

Tài liệu Advanced DSP and Noise reduction P4 pptx

... Gaussian with mean vector µx and covariance matrix Σxx, and that the noise n(m) is also Gaussian with mean vector µn and covariance matrix Σnn. 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 likelihood and posterior spaces ... spaceSignal priorspace Noise priorspace Likelihood spaceNoisy signal space Figure 4.6 Sketch of a two-dimensional signal and noise spaces, and the likelihood and posterior spaces of a...

Tài liệu Advanced DSP and Noise reduction P5 ppt

... signal and the noise HMMs maybe expressed as ()=η,,,maxmaxargnoisesignalsignal noise signalMssYsYssfMAP (5.46) and ()=η,,,maxmaxargnoisesignalnoisesignal noise MssYsYssfMAP ... filtering and the spectral subtraction methods described in Chapters 6 and 11) or by combining the noise and the signal models to model the noisy Signal and Noise Model Combination and Decomposition ... in the presence of noise, since noise causes a mismatch between the clean HMMs and the noisy signals. The noise- induced mismatch can be reduced: either by filtering the noise from the signal...

Tài liệu Advanced DSP and Noise reduction P6 pdf

... signal, the noise- free signal and the noise respectively, and rxy is the cross-correlation vector of the noisy signal and the noise- free signal. Substitution of Equations (6.46) and (6.47) ... separability: (a) The signal and noise spectra do not overlap, and the signal can be recovered by a low-pass filter; (b) the signal and noise spectra overlap, and the noise can be reduced but not ... where PXX(f) and PNN(f) are the signal and noise power spectra. Dividing the numerator and the denominator of Equation (6.50) by the noise power spectra PNN(f) and substituting...

Tài liệu Advanced DSP and Noise reduction P7 docx

... steepest-descent method, and then consider the computationally inexpensive LMS gradient search method. A z –1wk(m+1)α y(m) e(m)µαw(m) Advanced Digital Signal Processing and Noise Reduction, ... ()[]01|~)1|(ˆ=−−mmmmxxE (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 Equation (7.15) yields ... y(m)=x(m)+n(m) (7.34) Let σe2(m) and σn2(m) denote the variances of the excitation signal e(m) and the noise n(m) respectively. Substituting Φ(m+1,m)=a(m) and H(m)=1 in the Kalman filter...

Xem thêm