Design and implementation of digital filters for audio signal processing

Dhar, Pranab Kumar; Jun, Heesung; Kim, Jong‐Myon

doi:10.1109/ifost.2008.4602867

Cited by 10 publications

(5 citation statements)

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“…Gopi Perumal et al, used a sound sensor to detect the number of whistles from a pressure cooker and notify the user to turn it off. Pranab Kumar Dhar et al, explains the filter which is audio signal processing and the differences between analog and digital filters [2], [10], [11]. The electricity tariff is decided locally using a smart meter which will decide the amount based on change in frequency and demand is explained in Balamurugan et al's, paper [12].…”

Section: Inroductionmentioning

confidence: 99%

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

Janarthanan N., Chandra Dev K. A., Dasi Raghuram

2024

jes

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Kitchen management remains a challenging task, despite many technological advancements. As a result, it's clearly time for us to get the kitchen work done with ease. The ingenious Kitchen uses the Internet of Things for design and features a mobile application as a user interface. Smart Kitchen includes a grocery management system, a fuzzy system for adaptive cooking and signal processing for identifying the cooker whistle. In the grocery management system, an ultra-sonic sensor measures the inventory level and using a Wi-Fi module, data updates the value of a particular key in the cloud. Users can see the amount of item left, be notified of shortage, and get the shopping list using the mobile application.

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Section: Inroductionmentioning

confidence: 99%

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

Janarthanan N., Chandra Dev K. A., Dasi Raghuram

2024

jes

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“…( 7) we get, (9) It is then converted to a relative value in percentage by assuming the height of the container as 25 cm by using the formula in Eq. (10) . (10) The output from the kitchen safety sensor (Gas sensor) is an analog value proportional to ppm.…”

Section: Steps Involved In Connecting Sensors To Cloudmentioning

confidence: 99%

“…(10) . (10) The output from the kitchen safety sensor (Gas sensor) is an analog value proportional to ppm. It is then digitalised by the in-built ADC and that value will be equal to the ppm.…”

Section: Steps Involved In Connecting Sensors To Cloudmentioning

confidence: 99%

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

Narendran S P

2024

jes

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“…Variable step size adaptive algorithms are more robust, simple and offer better performance, as compared to conventional fixed step size algorithm [19]. Finite impulse response (FIR) digital filters are non-recursive, as compared to recursive nature of Infinite impulse response (IIR) digital filters; recursive IIR filters require shorter filter length [20]. Several hundred coefficients are required in cancellation of the low frequency road noise inside moving vehicle, resulting in the low convergence rate [21].…”

Section: * F E N X Nmentioning

confidence: 99%

Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability

Kapoor¹,

Pathak²,

Rai³

et al. 2023

Communications

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Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it alters the filter coefficient to minimize the difference between the approximated signal and the original one.Here is proposed an active noise cancellation model, using the low pass fixed coefficient filter before the adaptive filter, in order to improve the performance of the adaptive algorithm. Convergence rate, SNR and error vector magnitude are analysed for of adaptive algorithm in support of our research results.

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Design and implementation of digital filters for audio signal processing

Cited by 10 publications

References 0 publications

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

IoT Based Smart Kitchen Using Fuzzy Intelligence and Signal Processing

Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability

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