Described in this paper is a method for the analysis and comparison of multi-speaker surround sound algorithms using HRTF data. Using Matlab and Simulink [1] a number of surround sound systems were modeled, both over multiple speakers... more
Described in this paper is a method for the analysis and comparison of multi-speaker surround sound algorithms using HRTF data. Using Matlab and Simulink [1] a number of surround sound systems were modeled, both over multiple speakers (for listening tests) and using the MIT Media Labs HRTF set (for analysis)[2]. The systems under test were 1 Order Ambisonics over eight and five speakers, 2 Order Ambisonics over eight speakers and Amplitude panned 5.0 over five speakers. The listening test results were then compared to the HRTF analysis with favourable results.
Described in this paper is a method for the analysis and comparison of multi-speaker surround sound algorithms using HRTF data. Using Matlab and Simulink [1] a number of surround sound systems were modeled, both over multiple speakers... more
Described in this paper is a method for the analysis and comparison of multi-speaker surround sound algorithms using HRTF data. Using Matlab and Simulink [1] a number of surround sound systems were modeled, both over multiple speakers (for listening tests) and using the MIT ...
Although the multi-channel shopper has recently become a dominant consumer type, firms are still struggling with consciously designing their multi-channel service mix. In this paper, a design method based on QFD (Quality Function... more
Although the multi-channel shopper has recently become a dominant consumer type, firms are still struggling with consciously designing their multi-channel service mix. In this paper, a design method based on QFD (Quality Function Deployment) is introduced and tested for defining e-services that have to function in a multi-channel context. Within a design research perspective, a structured field experiment was conducted, using control group testing. Two measurement instruments were used: questionnaires for business participants (n=62) and a protocol for external observers (n=56) to measure performance of design tasks throughout the process. We found that business teams tend to bias towards the supplier’s perspective at the expense of customers and channel partners. The new method scored significantly better than the control group method on a number of evaluation criteria: customer orientation, channel coherence and communication between different stakeholder perspectives.
