Download Digital signal processing for measurement systems: theory by Gabriele D'Antona PDF
By Gabriele D'Antona
Electronic sign Processing for dimension structures: conception and functions covers the theoretical in addition to the sensible matters which shape the foundation of the trendy DSP-based tools and size equipment. It covers the fundamentals of DSP conception sooner than discussing the severe elements of DSP specific to dimension science.
Key Features:
* techniques sign processing via a special dimension technology perspective
* Covers either concept and cutting-edge purposes, from the sampling theorem to the layout of FIR/IIR filters
* comprises vital issues, for instance, difficulties that come up whilst sampling periodic indications and the connection among the sampling cost and the SNR
Read Online or Download Digital signal processing for measurement systems: theory and applications PDF
Best measurements books
Handbook of Modern Sensors: Physics, Designs, and Applications
The Handbook's assurance of sensors is broad, starting from easy photodiodes to advanced units containing parts together. It deals hard-to-find reference info at the homes of various fabrics and sensing parts and emphasizes units which are much less famous, whose expertise remains to be being sophisticated, and whose use allows the dimension of variables that have been formerly inaccessible.
Quantum Measurements and Decoherence: Models and Phenomenology
Quantum dimension (Le. , a dimension that's sufficiently special for quantum results to be crucial) used to be continually probably the most impor tant issues in quantum mechanics since it so much obviously printed the adaptation among quantum and classical physics. Now quantum degree ment is back lower than lively research, firstly end result of the functional necessity of facing hugely designated and complex measurements.
- IEEE electrical measurements series 7 rf and microwave power measurement
- Standards, Strategy, and Policy: Cases and Stories
- Detection and disposal of improvised explosives
- Linear Position Sensors: Theory and Application
- Guide to Numerical Analysis
- Spacecraft TT&C and Information Transmission Theory and Technologies
Additional resources for Digital signal processing for measurement systems: theory and applications
Sample text
Fig. 8 b) has been drawn in the same way as Fig. 8 a), again sampling a sinewave with 20 samples/period, but not in a synchronous way (T ≠ 20Ts). It can be immediately recognized that a distortion appears in the sinewave, at zero crossing, as evidenced on Fig. 8 b) by an ellipse. The above mathematical derivation and the intuitive example reported in Fig. 8 prove that the synchronous sampling condition must be satisfied in order to preserve the original information associated with the continuous-time signal after the sampling operation.
10. 36) It can be immediately recognized that, due to the periodicity of the Dirac impulses that constitute G’(jΩ), P’(jΩ) is the periodic replica of Sct(jΩ) with period Ω s = 2π/Ts. If Sct (jΩ) is upperbounded at angular frequency Ω0 = Ω s/2, each period of P’(jΩ) is a scaled replica of Sct (jΩ), otherwise aliasing occurs, as already shown in the previous sections. Let us now consider a periodic signal sct (t), with period T. If the distribution theory is considered, it is possible to define the Fourier transform of this signal, as a combination of Dirac impulses, equally spaced, in angular frequency, by a quantity j2π/T, and weighed by the Fourier series complex coefficients appertaining to each harmonic component.
Fourier-series approach. Let sct(t) be a continuous-time signal, represented by a generally continuous function of time t, periodic with period T in t, and absolutely integrable in t. 21) which means that sct(t) has a bounded spectrum. Let us now suppose to sample sct(t) with constant sampling period Ts taken in such a way that exactly 2N+1 samples are taken over the signal period T, from -T/2 to T/2. This means that the following relationship applies between T and Ts: T = (2N + 1)Ts showing that the signal period and the sampling period are synchronous.