Signals, Sound, and SensationSpringer Science & Business Media, 14/09/2004 - 647 páginas Designed to follow an introductory text on psychoacoustics, this book takes readers through the mathematics of signal processing from its beginnings in the Fourier transform to advanced topics in modulation, dispersion relations, minimum phase systems, sampled data, and nonlinear distortion. While organised like an introductory engineering text on signals, the examples and exercises come from research on the perception of sound. A unique feature of this book is its consistent application of the Fourier transform, which unifies topics as diverse as cochlear filtering and digital recording. More than 250 exercises are included, many of them devoted to practical research in perception, while others explore surprising auditory illusions generated by special signals. Periodic signals, aperiodic signals, and noise -- along with their linear and nonlinear transformations -- are covered in detail. More advanced mathematical topics are treated in the appendices. A working knowledge of elementary calculus is the only prerequisite. Indispensable for researchers and advanced students in the psychology of auditory perception. |
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... Pitch and Tone Color .... 140 * Georg Simon Ohm ( 1787-1854 ) . 145 Pitch , Chroma , and Shepard Tones . 145 Chapter 7 : Delta Functions Basic Definition ... Relation to the Unit Step Function Translation and Selection Properties ...
... Pitch and Tone Color .... 140 * Georg Simon Ohm ( 1787-1854 ) . 145 Pitch , Chroma , and Shepard Tones . 145 Chapter 7 : Delta Functions Basic Definition ... Relation to the Unit Step Function Translation and Selection Properties ...
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... Pitch of Sine Tones . 282 Definition of Pitch . 283 Dependence of Pitch on Intensity 285 Diplacusis , Threshold Microstructure , and Emissions 288 Noise - Induced Pitch Shift ... 290 Post - Stimulatory Pitch Shifts .. 290 Place Theories ...
... Pitch of Sine Tones . 282 Definition of Pitch . 283 Dependence of Pitch on Intensity 285 Diplacusis , Threshold Microstructure , and Emissions 288 Noise - Induced Pitch Shift ... 290 Post - Stimulatory Pitch Shifts .. 290 Place Theories ...
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William M. Hartmann. Cross - Spectrum . Revcor Technique .. Autocorrelation and Pitch Perception . 349 351 352 Chapter 15 : Delay - and - Add Filtering 361 Impulse Response and Transfer Function for Delay and Add .. 361 Repetition Pitch ...
William M. Hartmann. Cross - Spectrum . Revcor Technique .. Autocorrelation and Pitch Perception . 349 351 352 Chapter 15 : Delay - and - Add Filtering 361 Impulse Response and Transfer Function for Delay and Add .. 361 Repetition Pitch ...
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Índice
II | 1 |
III | 4 |
IV | 5 |
V | 6 |
VI | 7 |
VII | 10 |
VIII | 11 |
IX | 14 |
CIX | 322 |
CX | 327 |
CXI | 332 |
CXII | 333 |
CXIII | 335 |
CXIV | 342 |
CXV | 346 |
CXVII | 349 |
XI | 15 |
XII | 16 |
XIII | 17 |
XIV | 24 |
XV | 25 |
XVI | 27 |
XVII | 28 |
XVIII | 31 |
XIX | 33 |
XX | 34 |
XXI | 39 |
XXII | 40 |
XXIII | 46 |
XXIV | 49 |
XXV | 50 |
XXVI | 59 |
XXVII | 61 |
XXVIII | 63 |
XXIX | 69 |
XXX | 72 |
XXXII | 74 |
XXXIII | 81 |
XXXIV | 82 |
XXXVI | 84 |
XXXVII | 89 |
XXXVIII | 92 |
XXXIX | 98 |
XL | 117 |
XLI | 118 |
XLII | 119 |
XLIII | 122 |
XLIV | 123 |
XLV | 132 |
XLVI | 133 |
XLVII | 140 |
XLVIII | 145 |
L | 150 |
LI | 151 |
LIII | 152 |
LIV | 153 |
LV | 154 |
LVI | 155 |
LVII | 156 |
LVIII | 161 |
LIX | 162 |
LX | 163 |
LXI | 165 |
LXII | 169 |
LXIII | 170 |
LXIV | 171 |
LXV | 173 |
LXVI | 175 |
LXVII | 176 |
LXVIII | 179 |
LXIX | 182 |
LXX | 184 |
LXXI | 195 |
LXXIV | 202 |
LXXV | 209 |
LXXVI | 214 |
LXXVII | 216 |
LXXVIII | 218 |
LXXIX | 223 |
LXXX | 225 |
LXXXI | 227 |
LXXXII | 238 |
LXXXIII | 242 |
LXXXIV | 249 |
LXXXV | 254 |
LXXXVII | 256 |
LXXXVIII | 264 |
LXXXIX | 266 |
XC | 271 |
XCI | 273 |
XCII | 274 |
XCIII | 275 |
XCIV | 282 |
XCV | 283 |
XCVI | 285 |
XCVII | 288 |
XCVIII | 290 |
C | 292 |
CI | 295 |
CIII | 297 |
CIV | 302 |
CV | 310 |
CVII | 314 |
CVIII | 317 |
CXVIII | 351 |
CXIX | 352 |
CXX | 361 |
CXXI | 364 |
CXXII | 368 |
CXXIII | 372 |
CXXIV | 377 |
CXXV | 380 |
CXXVI | 382 |
CXXVII | 386 |
CXXIX | 393 |
CXXX | 396 |
CXXXI | 399 |
CXXXII | 403 |
CXXXIII | 404 |
CXXXIV | 412 |
CXXXV | 415 |
CXXXVI | 417 |
CXXXVII | 421 |
CXXXVIII | 423 |
CXL | 424 |
CXLI | 426 |
CXLII | 430 |
CXLIII | 432 |
CXLIV | 437 |
CXLV | 442 |
CXLVI | 449 |
CXLVII | 453 |
CXLVIII | 454 |
CXLIX | 455 |
CL | 457 |
CLI | 462 |
CLII | 468 |
CLIII | 469 |
CLIV | 470 |
CLV | 477 |
CLVI | 481 |
CLVII | 482 |
CLVIII | 484 |
CLIX | 485 |
CLX | 491 |
CLXI | 492 |
CLXII | 495 |
CLXIII | 503 |
CLXIV | 505 |
CLXV | 509 |
CLXVI | 511 |
CLXVII | 516 |
CLXVIII | 522 |
CLXIX | 524 |
CLXX | 525 |
CLXXI | 527 |
CLXXIII | 531 |
CLXXV | 541 |
CLXXVI | 545 |
CLXXVII | 546 |
CLXXVIII | 548 |
CLXXIX | 549 |
CLXXXI | 556 |
CLXXXII | 559 |
CLXXXIII | 560 |
CLXXXIV | 561 |
CLXXXV | 563 |
CLXXXVI | 566 |
CLXXXVII | 567 |
CLXXXVIII | 568 |
CLXXXIX | 569 |
CXC | 571 |
CXCI | 572 |
CXCII | 575 |
CXCIV | 578 |
CXCVII | 580 |
CXCVIII | 583 |
CC | 586 |
CCI | 588 |
CCII | 591 |
CCIII | 597 |
CCIV | 598 |
CCV | 600 |
CCVI | 602 |
CCVII | 605 |
CCVIII | 607 |
CCIX | 610 |
CCX | 611 |
CCXI | 613 |
CCXIII | 618 |
633 | |
Palavras e frases frequentes
acoustical amplitude auditory filter auditory system autocorrelation function beats calculate carrier Chapter coefficients complex number complex tone components constant convolution cosine function crest factor critical band critical bandwidth dB SPL delta function depends detection difference limen distribution duration effect envelope equal equation example Exercise experiment FIGURE formula Fourier series Fourier transform function x(t fundamental frequency Gaussian given harmonic number Hilbert transform impulse response input integral intensity interval inverse linear listener loudness lowpass filter magnitude masker masking measured mistuned harmonic modulation musical negative neural noise nonlinear normal octave odd function output peak perception periodic phase shift power spectrum psychoacoustical pulse pure tone random ratio rectangular sample sampled signal scale Show shown in Fig sidebands sine tone sine wave sound square wave staircase stimulus symmetry threshold transfer function triangle wave tuning variable voltage waveform zero
Passagens conhecidas
Página iv - Department of Physics and Astronomy Michigan State University East Lansing, MI 48824 USA We have examined a very simple model of dielectric breakdown in random mixtures of metal and dielectric.
Referências a este livro
Evolving Connectionist Systems: Methods and Applications in Bioinformatics ... Nikola K. Kasabov Pré-visualização limitada - 2003 |
Signal Processing Methods for Music Transcription Anssi Klapuri,Manuel Davy Pré-visualização limitada - 2007 |