Abstract:
An electronic device includes a receiver and an activator. The receiver includes a microphone; and a signal detector, coupled to the microphone, for determining whether a valid input signal received from the microphone is a voice signal or an ultrasonic signal by comparing a frequency of the valid input signal with at least two frequency bands, and accordingly passing the valid input signal. The activator includes a voice detection module, for performing a voice activated process; and an ultrasonic detection module, for performing an ultrasound activated process. The voice detection module and the ultrasonic detection module are enabled by the signal detector simultaneously or separately.
Abstract:
The invention relates to a method for determining a frequency line pattern within at least one amplitude spectrum generated from acoustic signals that are emitted from at least one detected vehicle and received by means of a sonar installation. First, a predetermined number of frequency lines is selected in the (or each) amplitude spectrum, and by sorting them on their amplitude size and on the basis of a threshold value which ensures that the pre-determined, appropriate number is not exceeded. After several threshold values are set, a comparison of frequency lines with each other takes place for those that have been selected taking into account at least one threshold value. The preliminary frequency line set with associated fundamental frequency, evaluated because of its recognizable structures, is then determined, by comparing the line pairs formed. Using a process of elimination, final frequency line sets are formed, under consideration of an assessment which depends on the sequence, number, density, and amplitude of the fundamental frequency of the frequency lines. Then strong individual lines can be found, which are possibly contained in the spectrum. A target-related frequency line pattern is assigned to each detected vehicle, based on which the classification of the vehicle becomes possible.The invention further relates to a corresponding apparatus for carrying out the given method.
Abstract:
Log chirp testing where a log chirp may be provided to a device under test and a first time domain response from the device under test may be received. The first time domain response may be in the time domain. The first time domain response may be converted to the angular domain to create an angular domain response. Converting to the angular domain response may include resampling the time domain response from the time domain to the angular domain. The angular domain response may be filtered and/or analyzed. The angular domain response may be converted to a second time domain response. Similar to above, the conversion may include resampling the angular domain response from the angular domain to the time domain. The first time domain response and the second time domain response may be analyzed. Testing results of the device under test may be generated and stored based on said analyzing.
Abstract:
A method for detecting squeaking noises within a sound signal generated during operation of a motor vehicle or during operation of a component thereof is described; in this method the sound signal is detected; an amplitude spectrum of the sound signal representing the amplitude distribution in a frequency range is generated at a minimum of two points in time and the existence of a squeaking noise is detected by analysis of the at least two amplitude spectra.
Abstract:
Log chirp testing where a log chirp may be provided to a device under test and a first time domain response from the device under test may be received. The first time domain response may be in the time domain. The first time domain response may be converted to the angular domain to create an angular domain response. Converting to the angular domain response may include resampling the time domain response from the time domain to the angular domain. The angular domain response may be filtered and/or analyzed. The angular domain response may be converted to a second time domain response. Similar to above, the conversion may include resampling the angular domain response from the angular domain to the time domain. The first time domain response and the second time domain response may be analyzed. Testing results of the device under test may be generated and stored based on said analyzing.
Abstract:
A method for determining the contributions of individual sound transmission paths to the operation-dependent total noise of a sound transmitting structure includes the following steps: applying at least one acceleration sensor and/or source microphone in the area of each sound input position; applying at least one target microphone and/or acceleration sensor in the area of a receiving position; carrying out at least one simultaneous measurement of sound pressure and/or acceleration at the receiving position and of acceleration and/or sound pressure at each sound input position during operation; determining at least one acceleration-to-pressure and/or acceleration-to-acceleration sensitivity function and/or at least one pressure-to-pressure sensitivity function; determining reciprocally measured frequency response functions between each sound input position and each receiving position; determining the inertances in the operational state for at least one sound input position; determining of at least one force at at least one sound input position based on the computed inertances and the accelerations measured during operation at the sound input positions; and determining the contributions of the individual transmission paths.
Abstract:
A signal processing apparatus subjects an audio signal to musical pitch analysis using different analysis techniques for the higher and lower frequencies. When an audio signal is input, a first extractor extracts a high-frequency signal, and a second extractor extracts a low-frequency signal from the audio signal. A high-frequency processor extracts pitch components from the high-frequency signal by applying the short-time Fourier transform. A low-frequency processor extracts pitch components from the low-frequency signal by dividing the low-frequency signal into a plurality of octave components. A synthesizing unit then combines the pitch components thus extracted from the high-frequency signal and the low-frequency signal and outputs the analysis result.
Abstract:
A method for detecting squeaking noises within a sound signal generated during operation of a motor vehicle or during operation of a component thereof is described; in this method the sound signal is detected; an amplitude spectrum of the sound signal representing the amplitude distribution in a frequency range is generated at a minimum of two points in time and the existence of a squeaking noise is detected by analysis of the at least two amplitude spectra.
Abstract:
An impulse event separating method, and an apparatus to perform the method, the method including dividing an input signal into frame units and dividing each frame into a plurality of frequency sub-bands; obtaining a power variation and phase variation of the signal of each of the frequency sub-bands, and detecting a plurality of local onsets using the power variation and the phase variation; obtaining a global onset from the local onsets and triggering a plurality of event components using the local onsets and the global onset; tracking and combining the event components in each of the frequency sub-bands to form events; and determining whether the events comprise an impulse event with reference to an impulse event property.
Abstract:
According to evaluation of tone quality of exhaust sound adapted to human audition, a characteristic of the tone quality of exhaust sound is objectively analyzed. There are provided a measuring process (M1) for sampling exhaust sound to be analyzed, by means of a microphone disposed in an exhaust system EX and converting the exhaust sound into an electric signal, an analyzing process (M2) for amplifying a high frequency component of the electric signal and performing a frequency analysis of the electric signal at an arbitrary time interval, a detecting process (M3) for detecting a first formant of the first peak from the low frequency side and a second formant of the second peak from the low frequency side, and a displaying process (M4) for displaying a relationship (brightness and sharpness) between the first formant and second formant in a predetermined time range.