Có 29+ tài liệu thuộc chủ đề "DSP"
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In this chapter we treat of one of the most intricate and fascinating signals ever to be studied, human. While the list of applications is endless many of the basic principles tend to be the same. Many of the methods used for speech compression and feature extraction are based on the LPC model and/or attempts to capture the deviations from...
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앫 Use of the TMS320C31 DSK. Three examples are included to illustrate these development tools and, in particular, to test the DSK.. For example, applications such as modems and speech recognition can be less expensive using DSP techniques. The DSK board contains an analog interface circuit (AIC) chip that provides for programmable ADC and DAC rates, and input and output...
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앫 Architecture and Instruction set of the TMS320C3x processor 앫 Memory addressing modes. Several programming examples included in this chapter illustrate the architec- ture, the assembler directives, and the instruction set of the TMS320C3x processor and associated tools.. Most of the instructions can be executed in one instruction cycle. Members of the first-generation of processors are currently available in C-MOS...
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Figure 3.2 illustrates an aliased signal. FIGURE 3.1 DSP system with input and output.. FIGURE 3.2 Aliased sinusoidal waveform.. The AIC contains an ADC and a DAC as well as switched-capacitor antialiasing input filter and reconstruction output filter, all on a single C-MOS chip. FIGURE 3.3 TLC32040 AIC functional block diagram (reprinted by permission of Texas Instruments).. The AIC primary...
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}e –st dt (4.2) From the property of the impulse function. If the poles of a system are on the left side of the j axis on the s-plane, a time-decay- ing system response will result, yielding a stable system. If the poles are on the right side of the j axis, the response will grow in time, making such...
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As such, the BLT procedure converts a transfer function of an analog filter in the s- domain into an equivalent discrete-time transfer function in the z-domain.. If we assume all initial conditions to be zero in (5.2), the z-transform of (5.2) becomes. then the transfer function H(z) is. which is a transfer function with N zeros and N poles. If...
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The FFT is one of the most commonly used oper- ations in digital signal processing to provide a frequency spectrum analysis [1–6]. Several variants of the FFT have been used, such as the Winograd transform [7,8], the discrete cosine transform (DCT) [9], and the discrete Hartley transform [10–12]. 6.2 DEVELOPMENT OF THE FFT ALGORITHM WITH RADIX-2 The FFT reduces considerably...
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The coefficients of an adaptive filter are adjusted to compensate for changes in input signal, output signal, or system parameters. An adaptive filter can be very useful when there is uncertainty about the character- istics of a signal or when these characteristics change.. Figure 7.1 shows a basic adaptive filter structure in which the adaptive fil- ter’s output y is...
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Figure 8.1 shows a 223. R2 (continued on next page) FIGURE 8.1 Partial program (without coefficients) for implementing eight filters (FIR8SETP).. listing of the program FIR8SETP, which is a partial program that does not in- clude the eight sets of coefficients. The starting address of each of the eight sets of coefficients is specified with COEFF1, COEFF2. The auxiliary register...