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Figure 44-3: Decision Tree Viewer
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If you are using a SolidWorks default template and a circle appears around your note, then use the Text Format PropertyManager that appears when you are creating a note, expand the Border panel, and change the Circle option to None.
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In this setup, the encoder predictor duplicates the closed-loop structure of the decoder, hence its name. Quantization noise Q(z) is modeled with a white spectrum. According to Eq. (15.19), openloop prediction results in an overall coding distortion X (d) (z) X(z) with a spectrum shaped like the speech model spectrum 1/A(z) which reduces the audibility of this noise due to the masking properties of human hearing. However, ltering of the noise by 1/A(z) also results in an overall gain that makes the total noise power identical to that observed in direct quantization of the speech waveform without using prediction. Closed-loop prediction keeps a white noise spectrum without noise ampli cation according to Eq. (15.23). However, as quantization noise is not shaped like the speech spectrum, it may become audible in the spectral valleys of the latter. A compromise between these two extremal positions is found in the use of a perceptual noise-shaping lter [Schroeder et al. 1979]. To this end, quantization noise is observed as the difference between quantizer output (q) and input, qn = en en , and a ltered version of this noise is fed back to the input of the quantizer E(z) E(z) + (W (z) 1)Q(z) (where the zero-delay gain is w0 = 1). Thereby, the open-loop prediction system results in a decoder output equal to X (d) (z) = X(z) + W (z) Q(z). If A(z) we choose the weighting lter W (z) = A(z/ ), with 0 < 1, we can control the spectral shape of the decoder distortion to be anywhere between a white spectrum ( = 1) and the speech model spectrum ( = 0). Note that this bandwidth expansion for the perceptual weighting lter can be simply obtained by setting wi = ai i . Long-Term Prediction The Short Term Predictors (STPs) discussed so far only address the statistical dependences among neighboring signal samples (short-term correlations) which can be related to a non at spectral envelope i.e., the formant structure of speech. The harmonic structure of voiced speech results in an additional spectral ne structure which corresponds to long-term correlations in the speech signal. These correlations are visible in the repetitive nature of the waveform cycles for a nearly periodic signal. The simplest Long Term Predictor (LTP) B(z) predicts the current sample xn from a sample that lies one period T0 back into the past: xn = b xn T0 (15.24)
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Figure 32.1 ACP of p/4DQPSK signal for various amounts of backoff.
Table Table Table Table Table 30-1: 30-2: 30-3: 30-4: 30-5: Select Derived Classes From UITypeEditor Public Instance Methods of TypeConverter Members of the Application Object The NativeWindow Object Members of the SystemInformation Object
You can set the interface back to the default settings using one of two methods. The first method, editing the Windows registry, may not be available to all users. It requires Administrator access to your computer and a good familiarity with Windows.
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