1)Nonuniform probability distribution of speech amplitude.
2)Nonzero autocorrelation between successive speech samples.
3)Nonflat nature of the speech spectra.
4)The most basic:speech is band limited.
The sinusoidal signal is called a basic signal because, by Fourier Analysis, you can not further reduce it. It is one sine wave of one frequency of one amplitude of one phase. It has no harmonics. If you converted it from time domain to frequency domain you would only get one line, at the fundamental frequency.
The human voice is an analogue signal because the frequency of the sound varies in the sound waves as well as their amplitude that gives the power. Analog signal is defined as a signal that has a continuously varying amplitude or frequency. Human speech, and everything else a human hear, is in analog form.
Earlier, signal processing was mainly dealt with MATLAB and Simulink. DSP processors were used to process those signals. But now, VLSI platform such as FPGA and CPLD are used for the same purpose. Design and implementation of signal processing on FPGAs and CPLDs is the latest research in VLSI signal processing. Even in this domain, speech processing is mainly researched now.
FM or frequency modulation is a means to vary the frequency withing a set basic frequency and transmit it. FM radio demodulate the frequency extracting the signal that made the frequency shift at the source.
Signals of different frequencies cannot interfere with each other. For example can audio waves (speech) interfere with AM or FM signals?? So when we perform modulation we just transfer the message to another amplitude/frequency/phase. Hence they will never interfere with signals which are not in the same range as them. Regards Arvind
past present and emerging developments in signal characteristics?
Phonetic engine is the signal to symbol transform action module which uses the acoustic phonetic information present in the speech signal to convert the speech signal into symbolic form. It is used to convert the speech signal into subwords.
what are the characters of digital signal
A periodic signal has two major characteristics: frequency and amplitude. Frequency is the number of times the periodic signal occurs in a set time, and the amplitude refers to how strong the signal is.
The Gaussian envelope is important in signal processing because it helps to shape and modulate the signal. It affects the characteristics of the signal by controlling its amplitude and frequency distribution, making it useful for filtering and smoothing signals.
Reflection of a transmitted signal is the basic premise of radar and sonar.
The word characteristics is a plural noun. The singular is characteristic.
Activation, persistence, and intensity are the three basic characteristics associated with motivation.
carrier signal- use for the purpose of conveying information. modulating signal- causes variations in some characteristics of carrier signal. modulated signal - carrier signal after altration in its characteristics is called modulated signal. example- if you want to see an object (suppose it is an modulating signal),you need light(light is carrier signal) and when light will reflect on object you will be able to see if (that is modulated signal)
no
Signal transmission is a process of transmitting data through basic understanding language of the network.
The basic elements in digital signal processing are an analog to digital converter, digital signal processor, and digital to analog converter. This process can take an analog input signal, convert it to digital for processing and offer an analog output.