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Nikolsky, N.: Toeplitz Operators and Spectral F...
79,79 € *
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Erscheinungsdatum: 11.04.2014, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Toeplitz Operators and Spectral Function Theory, Titelzusatz: Essays from the Leningrad Seminar on Operator Theory, Auflage: Softcover reprint of the original 1st ed. 1989, Autor: Nikolsky, N., Verlag: Birkhäuser Basel // Springer Basel, Sprache: Englisch, Rubrik: Geisteswissenschaften allgemein, Seiten: 428, Informationen: Paperback, Gewicht: 734 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 30.03.2020
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Complex Analysis and Spectral Theory
74,99 € *
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Complex Analysis and Spectral Theory ab 74.99 € als Taschenbuch: Seminar Leningrad 1979/80. Auflage 1981. Aus dem Bereich: Bücher, Wissenschaft, Mathematik,

Anbieter: hugendubel
Stand: 30.03.2020
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Toeplitz Operators and Spectral Function Theory
85,49 € *
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Toeplitz Operators and Spectral Function Theory ab 85.49 € als Taschenbuch: Essays from the Leningrad Seminar on Operator Theory. Softcover reprint of the original 1st ed. 1989. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 30.03.2020
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Digital Signal Processing using the Fast Fourie...
13,40 € *
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Seminar paper from the year 1997 in the subject Technology, grade: 1 (A), Loughborough University (Department of Aeronautical and Automotive Engineering), 4 entries in the bibliography, language: English, abstract: Conventionally a signal is a physical variable that changes with time and contains information. The signal may be represented in analogue (continuos) or discrete (digital) form. The majority of the physical variables of interest for the engineer are of analogue form. However digital data acquisition equipment favour a digital representation of the analogue signal. The digital representation of a analogue signal will effect the characteristic of the signal. Thus an understanding of the underlying principles involved in signal processing is essential in order to retain the basic information of the original signal. The primary goal to use the Discrete Fourier Transform (DFT) is to approximate the Fourier Transform of a continuous time signal. The DFT is discrete in time and frequency domain and has two important properties: - the DFT is periodic with the sampling frequency - the DFT is symmetric about the Nyquist frequency Due to the limitations of the DFT there are three possible phenomena that could result in errors between computed and desired transform. - Aliasing - Picket Fence Effect - Leakage The DFT of a signal uses only a finite record length of the signal. Thus the input signal for the DFT can be considered as the result of multiplying the signal with a window function. Multiplication in the time domain results in convolution in the frequency domain, which will influence the spectral characteristic of the sampled signal. In the table below rectangular and Hanning window are compared: [...] Table The Fast Fourier Transform (FFT) is a computationally efficient algorithm for evaluating the DFT of a signal. It is imported to appreciate the properties of the FFT if it is to be used effectively for the analysis of signals. In order to avoid aliasing and resulting misinterpretation of measurement data the following steps should be followed: [...]

Anbieter: buecher
Stand: 30.03.2020
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Digital Signal Processing using the Fast Fourie...
12,99 € *
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Seminar paper from the year 1997 in the subject Technology, grade: 1 (A), Loughborough University (Department of Aeronautical and Automotive Engineering), 4 entries in the bibliography, language: English, abstract: Conventionally a signal is a physical variable that changes with time and contains information. The signal may be represented in analogue (continuos) or discrete (digital) form. The majority of the physical variables of interest for the engineer are of analogue form. However digital data acquisition equipment favour a digital representation of the analogue signal. The digital representation of a analogue signal will effect the characteristic of the signal. Thus an understanding of the underlying principles involved in signal processing is essential in order to retain the basic information of the original signal. The primary goal to use the Discrete Fourier Transform (DFT) is to approximate the Fourier Transform of a continuous time signal. The DFT is discrete in time and frequency domain and has two important properties: - the DFT is periodic with the sampling frequency - the DFT is symmetric about the Nyquist frequency Due to the limitations of the DFT there are three possible phenomena that could result in errors between computed and desired transform. - Aliasing - Picket Fence Effect - Leakage The DFT of a signal uses only a finite record length of the signal. Thus the input signal for the DFT can be considered as the result of multiplying the signal with a window function. Multiplication in the time domain results in convolution in the frequency domain, which will influence the spectral characteristic of the sampled signal. In the table below rectangular and Hanning window are compared: [...] Table The Fast Fourier Transform (FFT) is a computationally efficient algorithm for evaluating the DFT of a signal. It is imported to appreciate the properties of the FFT if it is to be used effectively for the analysis of signals. In order to avoid aliasing and resulting misinterpretation of measurement data the following steps should be followed: [...]

Anbieter: buecher
Stand: 30.03.2020
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Post-Doctoral Seminar on Spectral Curvature and...
29,90 € *
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Post-Doctoral Seminar on Spectral Curvature and Spectrum of Curvature ab 29.9 EURO Mexico-Ukraine-Russia Post-Doctoral Seminar

Anbieter: ebook.de
Stand: 30.03.2020
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Toeplitz Operators and Spectral Function Theory
85,49 € *
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Toeplitz Operators and Spectral Function Theory ab 85.49 EURO Essays from the Leningrad Seminar on Operator Theory. Softcover reprint of the original 1st ed. 1989

Anbieter: ebook.de
Stand: 30.03.2020
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Complex Analysis and Spectral Theory
74,99 € *
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Complex Analysis and Spectral Theory ab 74.99 EURO Seminar Leningrad 1979/80. Auflage 1981

Anbieter: ebook.de
Stand: 30.03.2020
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Post-Doctoral Seminar on Spectral Curvature and...
29,90 € *
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Through consider a Riemannian manifold as a classes space G/H, where G/H is a space of left and right invariant classes modulo an isotropy subgroup H, are studied and developed methods in integral geometry to measure the curvature of G/H, through their orbits, cycles, co-cycles, field ramifications, etcetera, obtaining geometrical invariants as images of integral transforms that define the topological nature of the space. Several of these geometrical invariants are product of embbedings in topological vector spaces on the Riemannian manifold. The Spectrum of curvature will be of sheaves with curved germs or that include the curvature tensor. Then can be established an algebraic scheme related with equivalences of the moduli problems in field theory between the geometrical invariants and spectral images of curvature. Finally, this can be generalized to the quantum context to obtain and design an advanced censorship to possible advanced devices to detect and measure quantum gravity using the second curvature.

Anbieter: Dodax
Stand: 30.03.2020
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